Noise dressed as signal
News, chart patterns, and hot takes feel actionable, but few survive honest measurement. Trading them is paying for randomness.
Whalur hunts for repeatable, statistically significant market mechanisms — behaviors that produce positive expected value across many securities and market conditions — and turns them into ranked, explainable signals.
Free during the research preview. No card required.
You've felt it: a setup that worked twice becomes a strategy, a pundit's conviction becomes your position, and a backtest tuned to one lucky year becomes your account's worst month.
News, chart patterns, and hot takes feel actionable, but few survive honest measurement. Trading them is paying for randomness.
A strategy optimized on one stock in one regime collapses the moment conditions change. Curve-fitting isn't research — it's rehearsal for a loss.
A 70% win rate with ugly losers still bleeds money. The only number that compounds in your favor is expected value — and almost nobody measures it.
Not “what stock should I buy?” but “what measurable market behavior is occurring right now, and what has history demonstrated is the highest-expected-value response?”
A hypothesis engine generates and evaluates thousands of parameterized strategy variations — order-flow continuation, exhaustion, liquidity imbalance, mean reversion, and more — against historical market replays.
Candidate mechanisms must hold up across bull and bear markets, sectors, market caps, volatility regimes, and execution-cost assumptions. Whatever fails is discarded — before it costs anyone money.
Live signals arrive with a confidence score, the historical EV of similar setups, and the reasoning behind them — so you always know why, not just what.
Whalur continuously measures a curated research universe of ~60 representative stocks: relative volume, VWAP distance, liquidity, persistence, volatility, and dozens of other reusable features.
The hypothesis engine runs each candidate mechanism through historical replays — long and short, multiple entries and exits, position-management variants — and measures expected value, not anecdotes.
Survivors are re-tested across market cycles, sectors, capitalizations, and cost assumptions. Only mechanisms that stay positive everywhere advance to live monitoring.
Validated mechanisms are monitored in real time. Every alert is scored, explained, archived, and fed back into research — so the system gets sharper with every trade it observes.
Whalur's guiding principles are non-negotiable: expected value over win rate, robustness over optimization, repeatability over isolated success, and universal mechanisms over ticker-specific folklore.
“Rather than asking what stock to buy, we ask what measurable behavior is happening right now — and what history says is the highest-EV response.”
Our promise: no signal ships until its mechanism has survived robustness testing — and every live signal is tracked against its historical expectations, in the open, inside your dashboard.
No. Whalur is a research platform that discovers and validates market mechanisms. When those mechanisms fire in live markets, you get ranked, explained signals — the evidence, not just a ticker.
A strategy that wins 40% of the time can be highly profitable if winners outweigh losers. Whalur measures the average outcome per trade across many samples — the number that actually compounds — instead of chasing high win rates that hide fat losses.
The roadmap includes Alpaca integration for paper trading and automated execution with position sizing and risk controls. Execution always remains driven by validated research — never discretionary calls.
Whalur is free while in research preview. Create an account, follow the research as it develops, and lock in early access before signal delivery launches.
No. Whalur provides research and statistical measurements of market behavior. All trading involves risk, and you are responsible for your own decisions.
Join the Whalur research preview today and be first in line when validated, EV-ranked signals go live.